Genmo is a Foundation Models - Video & Image company founded in 2022 and based in San Francisco, United States. It has raised $33.5M in total funding, most recently a Series A in 2024 at a $150M valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Oct 22, 2024 | Series A | $28.4M | — | NEA |
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Genmo's flagship open-source text-to-video model, released October 2024 under an Apache 2.0 license. At 10 billion parameters, Mochi 1 is the largest openly-released video generation model and is built on Genmo's Asymmetric Diffusion Transformer (AsymmDiT) architecture, which decouples the text and visual streams to maximize visual capacity. The model produces 5-second 480p clips with strong motion quality and prompt adherence, and has become a popular base for community fine-tunes, research benchmarks, and commercial derivatives.
Genmo's hosted creative interface that lets users generate, iterate, and edit videos without running models locally. Studio exposes Mochi 1 and Genmo's earlier models through a web UI with prompt history, reference uploads, and side-by-side comparisons, plus higher-resolution and longer-duration variants only available in the cloud. The product serves as both a revenue channel and a feedback loop for improving the underlying open models, mirroring the Stability and Black Forest Labs playbook of pairing open weights with a hosted offering.
Genmo's underlying research platform built around the Asymmetric Diffusion Transformer architecture, including training code, inference kernels, and evaluation harnesses released alongside Mochi 1 on GitHub. The stack is designed to be reproducible on commodity GPU clusters and has been adopted by academic groups and independent researchers building on top of Genmo's work. By releasing the full training recipe rather than only weights, Genmo positions itself as the open-research anchor of the video generation field.
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